Fault diagnosis prediction system and method of large-span railroad bridge based on PHM

A fault diagnosis and prediction system technology, applied in bridges, buildings, instruments, etc., can solve the problems of impossible real-time monitoring of bridge diseases, low correlation degree of monitoring data, and difficulty in directly evaluating the safety status of trains, so as to ensure safety and facilitate Effect of Statistical Analysis

Active Publication Date: 2018-01-19
RAILWAY ENG RES INST CHINA ACADEMY OF RAILWAY SCI +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, on the one hand, the bridge health monitoring system only has a small number of sensors installed on the key parts or key components of the main structure, so it is impossible to effectively monitor all parts or all diseases of the bridge in real time; on the other hand, massive Bridge health monitoring data is difficult to directly guide the maintenance of bridges, and the correlation degree of various monitoring data is very low, which cannot effectively serve the management and maintenance of bridges
More importantly, the existing health monitoring system only monitors the condition of the main structure of the bridge and its environment, and it is difficult to directly evaluate the safety status of trains operating on the bridge track

Method used

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  • Fault diagnosis prediction system and method of large-span railroad bridge based on PHM
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  • Fault diagnosis prediction system and method of large-span railroad bridge based on PHM

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Experimental program
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Embodiment 1

[0068] Example 1, such as figure 1 As shown, a PHM-based fault diagnosis and prediction system for long-span railway bridges in the embodiment of the present invention relies on 3S network architecture, BIM and GIS technologies to realize the visualization, standardization and informatization of multi-source data. The 3S network architecture refers to the client (C / S), wide area network (B / S), and mobile Internet (M / S). The M / S client facilitates the on-site operation of the maintenance personnel. Specific users can realize remote data entry, query and management through the browser, while the C / S client provides direct operation and comprehensive management of each module of the PHM system.

[0069] The fault diagnosis and prediction system includes:

[0070] Visual management module, which is used for BIM modeling and visual display of the bridge structure, positioning and displaying the types, installation positions and status of several sensors installed on the bridge, an...

Embodiment 2

[0105] Embodiment 2, the PHM-based fault diagnosis and prediction method of a kind of long-span railway bridge of the present invention, this method comprises the following steps:

[0106] Step 1. According to the design requirements of the bridge, establish a finite element analysis calculation model to calculate the stress and deformation of the bridge structural components or parts under various design conditions, the dynamic characteristics and dynamic response of the bridge structure, and provide a comparison reference for the measured data ;

[0107] Step 2, carry out BIM model modeling according to the two-dimensional design drawings of the bridge, and visually display the bridge structure;

[0108] Step 3. According to the monitoring requirements of the bridge, several sensors are installed on the bridge to collect the static and dynamic response and appearance status of the bridge main structure and key components, track status, train vehicles, and bridge site environ...

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Abstract

The invention discloses a fault diagnosis prediction system of a large-span railroad bridge based on PHM. The system comprises a visualization management module, an archival data module, an online monitoring module, an artificial polling module, a diagnosis prediction module, a maintenance module, a data interaction module and a PHM database. The invention further provides a fault diagnosis prediction method of the large-span railroad bridge based on the PHM. The fault diagnosis prediction system has the advantages that 3S network architecture, a BIM and a GIS technology are adopted to associate and archive design, construction, operation and maintenance information, by comprehensively monitoring trains, tracks, bridges, and bridge environments and processing big data of artificial pollinginformation, the diagnosis and prediction of bridge diseases and evaluation of health states of the bridge are achieved, and a decision-making basis is provided for the maintenance of the bridges.

Description

technical field [0001] The invention relates to the technical field of railway bridges, in particular to a PHM-based fault diagnosis and prediction system and method for long-span railway bridges. Background technique [0002] The long-span railway bridge is the control key project of the railway line. With the prolongation of service time, under the influence of load and environmental factors, various damages and diseases of these bridges will inevitably occur. On the one hand, these diseases affect the durability of the structure and shorten the service life of the bridge structure; on the other hand, they can reduce the strength and rigidity of the structure, burying safety hazards for railway operations. [0003] At present, the diseases of railway bridges are mainly found through manual periodic inspections. However, a large number of manual inspection logs have not been digitized and informatized in a timely manner, and the description of the location of the disease ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50E01D1/00
Inventor 刘晓光胡所亭赵欣欣蒋欣潘永杰魏乾坤肖鑫鞠晓臣郭辉
Owner RAILWAY ENG RES INST CHINA ACADEMY OF RAILWAY SCI
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